Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Flerrespons prosesskapabilitetsanalyse× | Kvalitetsfunksjonsutvikling× | |
|---|---|---|
| Fagfelt | Forsøksdesign | Forsøksdesign |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 1993–1994 (foundational multivariate indices) | 1966 (Japan); popularised in the West ~1988 |
| Opphavsperson≠ | Taam, Subbaiah & Liddy (multivariate capability); Hubele, Shahriari & Cheng (MCpm) | Yoji Akao |
| Type≠ | Quantitative quality / process assessment method | Structured quality planning and product design method |
| Opprinnelig kilde≠ | Taam, W., Subbaiah, P., & Liddy, J. W. (1993). A note on multivariate capability indices. Journal of Applied Statistics, 20(3), 339–351. link ↗ | Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416 |
| Alias | MRPCA, multivariate process capability, multi-characteristic capability analysis, vector process capability | QFD, House of Quality, customer-driven engineering, voice of the customer matrix |
| Relaterte≠ | 6 | 4 |
| Sammendrag≠ | Multi-response process capability analysis extends classical single-response capability indices (Cp, Cpk) to situations where a process must simultaneously satisfy specification limits on two or more correlated quality characteristics. Rather than evaluating each response in isolation, it assesses the joint probability that all characteristics fall within their respective tolerance regions, yielding a more realistic picture of overall process performance in multi-characteristic manufacturing and engineering settings. | Quality Function Deployment (QFD) is a structured method for translating customer needs — the voice of the customer — into specific technical requirements at every stage of product or service development. Originating in Japan in the 1960s, QFD uses a matrix-based tool called the House of Quality to make customer priorities visible, link them to engineering parameters, expose trade-offs, and maintain focus on what customers actually value throughout the design process. |
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